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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
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   },
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   "source": [
    "import tensorflow as tf\n",
    "model=tf.keras.Sequential()\n",
    "\n",
    "model.add(tf.keras.layers.Dense(256,activation='relu'))\n",
    "model.add(tf.keras.layers.Dense(128,activation='relu'))\n",
    "model.add(tf.keras.layers.Dense(2,activation='softmax'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "model.compile(loss='sparse_categorical_crossentropy',optimizer=tf.keras.optimizers.Adam(0.01),metrics=['accuracy'])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
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  }
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   "display_name": "PyCharm (tfau)"
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